Sr. Data Engineer FULL TIME REMOTE

Description:

WHAT WE'RE DOING

Lockheed Martin is partnering with PG&E, Salesforce, and Wells Fargo to deliver

EMBERPOINT

™, an initiative designed to transform wildfire prevention, detection, and response across the United States.

EMBERPOINT

integrates advanced sensing technologies, artificial intelligence, and real-time command-and-control capabilities to help detect wildfires earlier, prevent escalation, and improve coordination between first responders, utilities, and emergency management organizations. To support this mission, we are building a scalable cloud-based data platform that enables rapid ingestion, storage, and analysis of large volumes of operational and sensor data. We are seeking an experienced Data Engineer to drive the orchestration of data ingestion, storage, and movement.

THE WORK

As a Data Engineering, you will will design, build, and operate the data pipelines that ingest, transform, catalog, and serve

EMBERPOINT

data platform and its AI/ML, Unified HMI, and command‑and‑control (C2) applications. This role works closely with the AWS Infrastructure Architect, AI/ML Engineers, Software Factory, MBSE team (Cameo →

DOORS NEXT

), and the Advisory Board to ensure data quality, security, and performance across the end‑to‑end mission workflow (Detection → Prediction → Response → Recovery). These databases will integrate with streaming ingestion pipelines and data lake services to enable real-time analytics, operational applications, and predictive wildfire intelligence. You will work closely with data engineering, platform engineering, and application development teams to ensure the platform delivers high availability, strong performance, and secure data management.

WHO WE ARE

Our team is building the cloud and data infrastructure that powers next-generation wildfire detection and response technologies. We work at the intersection of cloud engineering, large-scale data platforms, and mission-driven technology designed to protect communities and critical infrastructure. We value engineers who combine strong operational expertise with a systems perspective and who enjoy building reliable, scalable data services.

WHO YOU ARE

• A self-starter
• Experienced Data Engineer
• An engineer committed to delivering high quality, cutting edge technology to be used by our customers and allies across the country and world
• Are comfortable working across teams to ensure data remains secure, performant, and aligned with evolving platform architecture.

You enjoy solving complex data infrastructure challenges and enabling analytics and applications to operate at scale.

Basic Qualifications:

3 + years professional data‑engineering experience; SQL and Oracle experience ≥1 years designing and operating AWS‑native data lakes for mission‑critical or high‑volume workloads. B.S. Computer Science, Data Science, Information Systems, or related field (M.S. preferred). AWS knowledge Proven experience in SAFe/Agile environments, working with cross‑functional teams (AI/ML, UX, Systems Engineering).

Desired Skills:

Deep knowledge of S3, Glue, Lake Formation, Kinesis, MSK, Redshift, Athena, QuickSight, Lambda, Step Functions, IAM, KMS Hands‑on with AWS Glue, Spark, DBT, Airflow (or Managed Workflows for Apache Airflow).. Proficient in Python (PySpark, Boto3), Scala, SQL, and Shell/Bash. Experience integrating MBSE data from Cameo →

DOORS NEXT

into data‑lake pipelines. Knowledge of AI/ML data pipelines (SageMaker Feature Store, model‑artifact versioning). Experience with data ingestion, Object Storage and data paths, ingest orchestration, ETL, relational and non-relational database with autonomous

DB Security Clearance Statement:

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level:

Secret Other Important Information You Should Know Expression of Interest:

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to

Work Remotely:

Full-time Remote Telework:

The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

Work Schedules:

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this

Position:

4x10 hour day, 3 days off per week

Pay Rate:

The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $107,300 - $185,840. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

Benefits offered:

Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

Pay Rate:

The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $93,200 - $164,450. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

Benefits offered:

Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.

Experience Level:

Experienced Professional Business Unit:

RMS Relocation Available:

Possible Career Area:

Systems Architect Type:

Full-Time Shift:

First Qualifications:

3 + years professional data‑engineering experience; SQL and Oracle experience ≥1 years designing and operating AWS‑native data lakes for mission‑critical or high‑volume workloads. B.S. Computer Science, Data Science, Information Systems, or related field (M.S. preferred). AWS knowledge Proven experience in SAFe/Agile environments, working with cross‑functional teams (AI/ML, UX, Systems Engineering).